Data/Back-End Engineer

• From the ground up, assist in creating and implementing the Data Platform
• Data ingestion tools and integrations, stream and batch processing using kappa or lambda architectures, monitoring, and more
• Build complete ETL/LT pipelines to feed the Data Warehouse and give downstream analytical data consumers the power to take control of the Data Pipelines
• Provide consultative and data engineering solutions for various internal customers by working with cross-functional teams and interacting with Product, Engineering, Data Science, Analytics/BI, and Operations to understand their data needs

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 3+ years of relevant experience as a data/back-end engineer
• 3+ years of experience developing data platform infrastructure
• Extensive working experience with at least one programming language like Scala, Python/PySpark, as well as SQL expertise
• Extensive experience working with distributed big data technologies such as Spark, Presto, Hive, Redshift, etc.
• Experience with implementing microservice architectures, event-based processing, and streaming pipelines
• Knowledge of best practices in data engineering, including the ability to mentor other engineers and provide technical leadership
• Solid understanding of the principles of continuous integration and deployment and agile software development
• Excellent English communication skills